Course Description

Statistical pattern recognition is a powerful analytical approach that leverages statistics to uncover patterns within data. It involves extracting meaningful insights from observations and making predictions based on these patterns. Key components of the process include feature extraction, classification, and decision-making. By applying statistical models and algorithms, we can identify hidden regularities in large datasets.